• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.121-126
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• 2015

The central objective of this paper is to check different effects developed by interaction with a gender and brand attributes related to the brand authenticity such as brand authority and brand ethicality. The survey method was used for this paper, and data from a total of 136 office workers were used for the analysis. The data were analyzed using smartPLS, a structural equation modeling tool. The results of the analysis are summarized as follows. First, brand authority has a significant effect on brand authenticity in both male and female. Second, brand ethicality has a significant effect on brand authenticity in only male. Third, brand authenticity has a significant effect on purchase and word-of-mouth intention in only male. Therefore brand authority is the determinant of the perceived brand authenticity. The findings have significant implications which the study inquires into the gender difference in the perceived brand authenticity of consumers.

• Journal of the Korea Institute of Construction Safety
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• v.4 no.1
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• pp.22-29
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• 2021

To prevent fall from height, interest in the development and introduction of smart harness is increasing as policies and laws such as mandatory use of smart safety equipment at construction sites. However, despite the potential of smart harness, construction safety cannot be contributed unless adopted or used by users. The objective of this research is to examine the perception between safety managers and workers on smart harness, user perception according to user's experience and differences through semi-structured in-depth interviews. As a result of the interview and comparative analysis, both safety managers and workers perceived smart harness as uncomfortable, and workers with experience in using smart harness perceived that simple functions that inform risks are useful for securing safety. This research results show different user's perception of smart harness can be confirmed how much factors affect the use of smart harness, which can provide implication into establishing measures to strengthen the use of smart harness in the future.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.1
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• pp.28-36
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• 2022

Currently, the automation and intelligence of the shipbuilding industry have improved its work production capacity and cost competitiveness, but the reduction rate of safety accidents among industrial site workers is still low and the damage caused by safety accidents is very serious, so there is a need for improvement according to the workplace. This research aims to demonstrate the connectivity between smart safety helmets in the demonstration area to verify the effectiveness along with the development of smart helmets for worker protection and environmental safety in shipyards. For efficient communication between workers, impact noise of over 95dB was confirmed in the workplace, and noise reduction was required. To solve this problem, the filtering performance was compared and analyzed using the Butterworth, Chebyshev, and elliptic algorithms. The connectivity test and noise reduction method between smart helmets proposed in this study will increase the usability and safety of the field through the development of advanced smart helmets tailored to the shipbuilding workplace in the future.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.41-49
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• 2015

Industrial safety is one of the crucial agenda for Government as well as Manufacturing Industry. To cope with the needs, a great deal of policies and technical implementation have been proposed and implemented. With a great increasing attention on the Industry 4.0 and Smart Factory, industrial safety has received as a crucial agenda by the manufacturing industry in particular. Up until now, almost all of them have been made from the environmental aspects, rather than operator or workers. In this paper, we present our research results how to increase the workers' safety via smart factory technology, such as IoT and CPS. Our approach has been to see the problem from SE perspectives, to draw the real issues from the various stakeholders, and define how to solve the problem based on the emerging technologies. The developed systems can give conceptual framework for the 'smart' industrial safety system by providing solution architecture for how to monitor the location of workers, and moving equipments, and generate solutions how to avoid safety problems between them if detected.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.109-115
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• 2019

Smart Factory is a part of and a key point of the 4th industrial revolution. It performs optimization from the whole viewpoint, using comprehensive data of the post-process data by utilizing various sensors, controllers, and mobile devices beyond the existing factory automation level. In this paper, we design and implement an IoT platform that can detect the safety factors of the workers, the environmental factors of the factory, and real time monitoring at the control center, among the fields to implement smart factory. To accomplish this, we construct a monitoring device that provides sensor information control, server transmission of sensor information, and visualization of collected information. By using this system, it is possible to maintain the temperature and humidity for the optimum working environment in the factory. and also, By using the beacon, it is possible to measure the working time of the worker and trace the position.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.37-51
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• 2017

We investigated how entrepreneurship, information technology acceptance, and media utilization influence on office worker commitment and how effects are modulated by learning orientation. The purpose of this study is to identify variables that influence on office worker commitment. To do so, entrepreneurship, information technology acceptance, and media utilization that are the core competencies of individuals and organizations in the era of smart information are proposed as predictor variables, office worker commitment as a outcome variable and learning orientation as a modulator. For this study, a questionnaire survey was conducted on office workers, and finally 340 valid questionnaires are used for analysis. Hierarchical regression analysis is used with demographic characteristics as control variables and learning orientation as a modulating variables. A result showed that the higher need for achievement and proactiveness of entrepreneurship is, the higher job commitment is and that the perceived usefulness of information technology acceptance and communication utilization ability of media utilization competitiveness have a positive effect on job commitment. A research showed that learning orientation is modulating the relationship between entrepreneurship and job commitment, and between media utilization capability and job commitment, respectively. We concluded that we should actively seek synergies of learning orientation along with accumulation of online communication utilization capacity and perceived usefulness of information technology, and of proactiveness need for achievement and in entrepreneurship in order to improve the work committment in the smart information society where the digital environment is advanced.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.29-37
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• 2017

In this study, real-time monitoring is carried out in the factory site for product quality control such as improvement of productivity through facility automation, improvement of product quality, improvement of factory environment, check of facility maintenance status and check of product defect, And to establish a smart factory for the purpose of protecting the personal environment of the worker. The company is an auto parts company located in the province. The main research content is development of automation and monitoring system of oil filter clipping necessary for smart factory. Smart factory oil filter clipping automation is divided into electric air parts, solenoid valve and other parts processing process. Smart factory quality inspection monitoring system is implemented by server PC and S / W, client software, Operator PC, operating program, and input terminal application. This research data is expected to be very useful data for the auto parts venture companies that are promoting smart factories.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.4B
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• pp.322-331
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• 2011

Recently, the social issues such as low birth rate, an aging population has brought about decreasing labor productivity and productive population. To relieve these problems, the government has planned to set up smart working infrastructure and will raise the number of smart worker to around 30 percent of the total working population by 2015. This study scrutinizes to the meaning of smart working with the concepts of new work pattern and open innovation. The empirical analysis result shows 56.9% of SMBs thought a need for such system and 60.1% of them answered to adopt it. And the market related to smart working of SMBs will increase to 17.5% every year to the point that by 2014. It will be worth 1.54 trillion won and create up to 38,000 job positions. While prior researches on SMB suggested key drivers and guideline for innovation, this study gives some implications of impact and ripple effect of smart working as an innovation factor based on empirical analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.63-65
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• 2016

In this paper, smart door-lock system to access public facilities will be proposed. An existed door-lock system using physical door-lock, NFC Tag, and RFID could be replaced by our proposed system. Automatic access control management system with security authentication module enables the worker to access public facilities efficiently.

• Journal of Drive and Control
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• v.19 no.1
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• pp.1-7
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• 2022

Recently, a re-painting robot was developed to semi-automatically conduct blasting work in bridge spaces to improve work productivity and worker safety. In this study, a vision sensor-based monitoring module was developed to automatically move the re-painting robot along the path. The monitoring module provides direction information to the robot by analyzing the boundary between the painting surface and the metal surface. To stably measure images in unstable environments, various techniques for improving image visibility were applied in this study. Then, the driving performance was verified in a similar environment.